Photos | Street Sign and Building Mural

Kazuya Minekura walks past a colorful mural on the side of a building in the city, with a street sign marking the intersection behind him.
BLIP-2 Description:
a street sign with a mural on the side of a buildingMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
west lighting path walkway city urban outdoors hydrant billboard stree baby intersection car vehicle day fire sky symbol minutes lamppost transportation sat stop public parking bag sidewalk sign bureau violation accessories outdoor street helmet pm road traffic media night glasses building footwear architecture skyscraper kazuya minekura convenien flat wall suml light courthouse text metropolis advertising painting handbag bus walking land advertisement art nature neighborhood shoe
Detected Text
iso
80
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/6s
camera make
Apple
camera model
lens model
date
2017-07-28T23:32:11.714000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.67%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.61%)
harmonious color
(0.79%)
immersiveness
(0.46%)
interaction
(4.00%)
interesting subject
(-41.97%)
intrusive object presence
(-3.13%)
lively color
(-15.88%)
low light
(95.41%)
noise
(-5.91%)
pleasant camera tilt
(-5.15%)
pleasant composition
(-33.11%)
pleasant lighting
(-45.39%)
pleasant pattern
(6.74%)
pleasant perspective
(7.94%)
pleasant post processing
(-1.25%)
pleasant reflection
(-2.86%)
pleasant symmetry
(1.03%)
sharply focused subject
(0.42%)
tastefully blurred
(-11.15%)
well chosen subject
(-19.18%)
well framed subject
(-10.13%)
well timed shot
(1.75%)
all
(-3.98%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.